Publications

2025

  • I Know You Are Discriminatory!: Automated Substantiating for Individual Fairness Auditing of AI Systems

    Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng

    Proceedings of the 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2025)

  • Personalized Denoising Implicit Feedback for Robust Recommender System

    Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

    Proceedings of the 34nd International Conference on World Wide Web (WebConf 2025)

    [ Paper ] [ Code ]

2024

  • Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation

    Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

    Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

    [ Paper ] [ Code ]

  • PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks

    Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen

    Findings of the Association for Computational Linguistics on Empirical Methods in Natural Language Processing (EMNLP 2024)

    [ Paper ]

  • Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems

    Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen

    Proceedings of the 18th ACM Conference on Recommender Systems (RecSys 2024)

    [ Paper ] [ Code ]

  • Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System

    Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen

    Proceedings of the 18th ACM Conference on Recommender Systems (RecSys 2024)

    [ Paper ] [ Code ]

  • IDEA: Invariant defense for graph adversarial robustness

    Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng

    Information Sciences

    [ Paper ] [ Code ]

  • LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation

    Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

    Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)

    [ Paper ] [ Code ]

  • Identity-Preserving Adversarial Training for Robust Network Embedding

    Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng

    Journal of Computer Science and Technology

    [ Paper ]

  • Towards generalizable graph contrastive learning: An information theory perspective

    Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng

    Neural Networks

    [ Paper ]

  • History Driven Sampling for Scalable Graph Neural Networks

    Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng

    Proceedings of the 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024)

    [ Paper ]

  • When to Trust LLMs: Aligning Confidence with Response Quality

    Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding

    Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

    [ Paper ] [ Code ]

  • Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?

    Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wan, Qi Cao, Xueqi Cheng

    Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)

    [ Paper ] [ Code ]

2023

  • Popularity Debiasing from Exposure to Interaction in Collaborative Filtering

    Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng

    Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

    [ Paper ] [ Code ]

  • Graph adversarial immunization for certifiable robustness

    Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng

    IEEE Transactions on Knowledge and Data Engineering (TKDE 2024)

    [ Paper ]

  • DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph

    Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng

    Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

    [ Paper ] [ Code ]

  • Adversarial camouflage for node injection attack on graphs

    Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng

    Information Sciences

    [ Paper ] [ Code ]

  • Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation

    Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng

    Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023)

    [ Paper ]

  • Augmentation-aware self-supervision for data-efficient GAN training

    Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng

    Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)

    [ Paper ] [ Code ]

  • Negative Can Be Positive: Signed Graph Neural Networks for Recommendation

    Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng

    Information Processing & Management (IPM 2023)

    [ Paper ]

  • Simple Multi-view Can Bring Powerful Graph Neural Network

    Bingbing Xu, Yang Li, Qi Cao, Huawei Shen

    Proceedings of the 32nd International Conference on World Wide Web Companion (WWW 2023 Companion)

    [ Paper ]

  • MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification

    Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen

    Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

    [ Paper ]

  • What makes a successful rebuttal in computer science conferences?: A perspective on social interaction

    Junjie Huang, Win-bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng

    Journal of Informetrics

    [ Paper ]

2022

  • INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering

    Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng

    Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)

    [ Paper ] [ Code ] [ Video ] [ Doc ]

  • PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction

    Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng

    Proceedings of the 31st International Conference on World Wide Web Companion (WWW 2022 Companion)

    [ Paper ] [ Code ] [ Poster ]

  • Location-Aware Convolutional Neural Networks for Graph Classification

    Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng

    Neural Networks

    [ Paper ]

  • Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-aware Weisfeiler-Lehman

    Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng

    Proceedings of the 1st Learning on Graphs Conference (LoG 2022)

    [ Paper ]

  • Towards Powerful Graph Contrastive Learning without Negative Examples

    Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng

    Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022)

    [ Paper ]

  • Conditional GANs with Auxiliary Discriminative Classifier

    Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

    Proceedings of the 39th International Conference on Machine Learning (ICML 2022)

    [ Paper ] [ Code ]

  • Survey on Graph Classification（图分类研究综述）

    Zhaohui Wang, Huawei Shen, Qi Cao, Xueqi Cheng

    Journal of Software（软件学报，2022）

    [ Paper ]

2021

  • Single Node Injection Attack against Graph Neural Networks

    Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng

    Proceedings of the 30th International Conference on Information and Knowledge Management (CIKM 2021)

    [ Paper ] [ Code ]

  • Learning Diffusion Model-free and Efficient Influence Function for Influence Maximization from Information Cascades

    Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng

    Knowledge and Information Systems (KAIS 2021)

    [ Paper ]

  • Adversarial Immunization for Certifiable Robustness on Graphs

    Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng

    Proceedings of the 14th ACM International Conference on Web Search and Data Mining

    [ Paper ] [ Code ] [ Video ]

  • Signed Bipartite Graph Neural Networks

    Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng

    Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)

    [ Paper ] [ Code ]

  • Self-Supervised GANs with Label Augmentation

    Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng

    Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

    [ Paper ] [ Code ]

  • How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising

    Junjie Huang, Huawei Shen, Qi Cao, Cai Li, Xueqi Cheng

    Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021)

    [ Paper ]

  • Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field

    Bingbing Xu, Huawei Shen, Bingjie Sun, Rong An, Qi Cao, Xueqi Cheng

    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021)

    [ Paper ]

  • Survey on Deep Learning Based Popularity Prediction（基于深度学习的流行度预测研究综述）

    Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng

    Journal of Chineses Information Processing（中文信息学报，2021）

    [ Paper ]

2020

  • Popularity Prediction on Social Platforms with Coupled Graph Neural Networks

    Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng

    Proceedings of the 13th International Conference on Web Search and Data Mining (WSDM 2020)

    [ Paper ] [ Code ] [ Poster ] [ Ppt ] [ Video ]

  • GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks

    Rong Yan, Huawei Shen, Cao Qi, Keting Cen, Li Wang

    Proceedings of the IEEE International Conference on Big Data and Smart Computing (BigComp 2020, Best Paper Award)

    [ Paper ]

2019

  • Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias

    Jiangli Shao, Huawei Shen, Qi Cao, and Xueqi Cheng

    Proceedings of the 25th China Conference Information Retrieval (CCIR 2019)

    [ Paper ]

  • Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

    Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, XueqiCheng

    Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

    [ Paper ] [ Code ]

  • Graph Wavelet Neural Network

    Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng

    Proceedings of the International Conference on Learning Representations (ICLR 2019)

    [ Paper ] [ Code ]

2017

  • DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

    Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng

    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM 2017)

    [ Paper ] [ Code ]

  • Predicting the Popularity of Online Content with Group-specific Models

    Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng

    Proceedings of the 26th International Conference on World Wide Web Companion (WWW 2017 Companion)

    [ Paper ]